Steen Andreassen

Dan S. Karbing, Charlotte Allerød, Lars P. Thomsen, Kurt Espersen, Per Thorgaard, Steen Andreassen, Søren Kjærgaard, Stephen E. Rees: Retrospective evaluation of a decision support system for controlled mechanical ventilation. Med. Biol. Engineering and Computing 50(1): 43-51 (2012)

Stephen R. Rees, Ewart R. Carson, David Dagan Feng, Steen Andreassen: Introduction for special issue "Cardio-Pulmonary Modelling". Computer Methods and Programs in Biomedicine 101(2): 107-108 (2011)

K. L. Steimle, M. L. Mogensen, Dan S. Karbing, J. Bernardino de la Serna, Steen Andreassen: A model of ventilation of the healthy human lung. Computer Methods and Programs in Biomedicine 101(2): 144-155 (2011)

M. L. Mogensen, K. S. Steimle, Dan S. Karbing, Steen Andreassen: A model of perfusion of the healthy human lung. Computer Methods and Programs in Biomedicine 101(2): 156-165 (2011)

Peter Poulsen, Dan S. Karbing, Stephen E. Rees, Steen Andreassen: Tidal breathing model describing end-tidal, alveolar, arterial and mixed venous CO₂ and O₂. Computer Methods and Programs in Biomedicine 101(2): 166-172 (2011)

Ewart R. Carson, Stephen E. Rees, Steen Andreassen, David Dagan Feng: Introduction. Computer Methods and Programs in Biomedicine 102(2): 91-93 (2011)

Stephen E. Rees, Ewart R. Carson, David Dagan Feng, Steen Andreassen: Modelling and control in biomedical systems. Computer Methods and Programs in Biomedicine 104(2): 27-28 (2011)

Stephen E. Rees, Dan S. Karbing, Charlotte Allerød, Marianne Toftegaard, Per Thorgaard, Egon Toft, Søren Kjærgaard, Steen Andreassen: The Intelligent Ventilator Project: Application of Physiological Models in Decision Support. AIME 2011: 149-158

Ulrike Pielmeier, Steen Andreassen, Birgitte S. Nielsen, J. Geoffrey Chase, Pernille Haure: A simulation model of insulin saturation and glucose balance for glycemic control in ICU patients. Computer Methods and Programs in Biomedicine 97(3): 211-222 (2010)

Steen Andreassen, Alina Zalounina, Knud Buus Pedersen, John Gade, Mical Paul, Leonard Leibovici: Steps on the Road to Clinical Application of Decision Support - Example TREAT. AIME 2009: 166-170

Karsten Jensen, Steen Andreassen: Generic causal probabilistic networks: A solution to a problem of transferability in medical decision support. Computer Methods and Programs in Biomedicine 89(2): 189-201 (2008)

Christina Starfinger, J. Geoffrey Chase, Christopher E. Hann, Geoffrey M. Shaw, P. Lambert, Bram W. Smith, E. Sloth, A. Larsson, Steen Andreassen, Stephen E. Rees: Prediction of hemodynamic changes towards PEEP titrations at different volemic levels using a minimal cardiovascular model. Computer Methods and Programs in Biomedicine 91(2): 128-134 (2008)

Christina Starfinger, J. Geoffrey Chase, Christopher E. Hann, Geoffrey M. Shaw, P. Lambert, Bram W. Smith, E. Sloth, A. Larsson, Steen Andreassen, Stephen E. Rees: Model-based identification of PEEP titrations during different volemic levels. Computer Methods and Programs in Biomedicine 91(2): 135-144 (2008)

Charlotte Allerød, Stephen E. Rees, Bodil Rasmussen, Dan S. Karbing, Søren Kjærgaard, Per Thorgaard, Steen Andreassen: A decision support system for suggesting ventilator settings: Retrospective evaluation in cardiac surgery patients ventilated in the ICU. Computer Methods and Programs in Biomedicine 92(2): 205-212 (2008)

Alina Zalounina, Mical Paul, Leonard Leibovici, Steen Andreassen: A stochastic model of susceptibility to antibiotic therapy - The effects of cross-resistance and treatment history. Artificial Intelligence in Medicine 40(1): 57-63 (2007)

Bram W. Smith, Steen Andreassen, Geoffrey M. Shaw, Per L. Jensen, Stephen E. Rees, J. Geoffrey Chase: Simulation of cardiovascular system diseases by including the autonomic nervous system into a minimal model. Computer Methods and Programs in Biomedicine 86(2): 153-160 (2007)

Stephen E. Rees, Marianne Toftegaard, Steen Andreassen: A method for calculation of arterial acid-base and blood gas status from measurements in the peripheral venous blood. Computer Methods and Programs in Biomedicine 81(1): 18-25 (2006)

David Murley, Stephen E. Rees, Bodil Rasmussen, Steen Andreassen: Decision support of inspired oxygen selection based on Bayesian learning of pulmonary gas exchange parameters. Artificial Intelligence in Medicine 34(1): 53-63 (2005)

Kristian G. Olesen, Steen Andreassen, Marko Suojanen: Modularizing inference in large causal probabilistic networks. Int. J. Intell. Syst. 18(2): 179-191 (2003)

David Murley, Stephen E. Rees, Bodil Rasmussen, Steen Andreassen: Bayesian Learning of the Gas Exchange Properties of the Lung for Prediction of Arterial Oxygen Saturation. AIME 2003: 264-273

Steen Andreassen, Brian Kristensen, Alina Zalounina, Leonard Leibovici, Uwe Frank, Henrik C. Schønheyder: Hierarchical Dirichlét Learning - Filling in the Thin Spots in a Database. AIME 2003: 274-283

Steen Andreassen, Enrique J. Gómez, Ewart R. Carson: Computers in Diabetes 2000. Computer Methods and Programs in Biomedicine 69(2): 93-95 (2002)

Marko Suojanen, Steen Andreassen, Kristian G. Olesen: A method for diagnosing multiple diseases in MUNIN. IEEE Trans. Biomed. Engineering 48(5): 522-532 (2001)

Stephen E. Rees, Charlotte Allerød, Søren Kjærgaard, Egon Toft, Per Thorgaard, Steen Andreassen: Diagnosing Patient State in Intensive Care Patients Using the Intelligent Ventilator (INVENT) System. AIME 2001: 131-135

Steen Andreassen, Marko Suojanen, Björn Falck, Kristian G. Olesen: Improving the Diagnostic Performance of MUNIN by Remodelling of the Diseases. AIME 2001: 167-176

Silvana Quaglini, Pedro Barahona, Steen Andreassen (Eds.): Artificial Intelligence Medicine, 8th Conference on AI in Medicine in Europe, AIME 2001, Cascais, Portugal, July 1-4, 2001, Proceedings. Lecture Notes in Computer Science 2101, Springer 2001, isbn 3-540-42294-3

Ewart R. Carson, Steen Andreassen, David A. Cavan, Enrique J. Gómez: Computers in diabetes - an introduction. Computer Methods and Programs in Biomedicine 62(3): 153-155 (2000)

Tom Arleth, Steen Andreassen, Marco O. Federici, Massimo M. Benedetti: A model of the endogenous glucose balance incorporating the characteristics of glucose transporters. Computer Methods and Programs in Biomedicine 62(3): 219-234 (2000)

Leonard Leibovici, Michal Fishman, Henrik C. Schønheyder, Christian Riekehr, Brian Kristensen, Ilana Shraga, Steen Andreassen: A Causal Probabilistic Network for Optimal Treatment of Bacterial Infections. IEEE Trans. Knowl. Data Eng. 12(4): 517-528 (2000)

Steen Andreassen, Christian Riekehr, Brian Kristensen, Henrik C. Schønheyder, Leonard Leibovici: Using probabilistic and decision-theoretic methods in treatment and prognosis modeling. Artificial Intelligence in Medicine 15(2): 121-134 (1999)

Steen Andreassen, Leonard Leibovici, Henrik C. Schønheyder, Brian Kristensen, Christian Riekehr, Anders Geill Kjær, Kristian G. Olesen: A Decision Theoretic Approach to Empirical Treatment of Bacteraemia Originating from the Urinary Tract. AIMDM 1999: 197-206

Werner Horn, Yuval Shahar, Gregor Lindberg, Steen Andreassen, Jeremy C. Wyatt (Eds.): Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99, Aalborg, Denmark, June 1999, Proceedings. Lecture Notes in Computer Science 1620, Springer 1999, isbn 3-540-66162-X

Marko Suojanen, Kristian G. Olesen, Steen Andreassen: A Method for Diagnosing in Large Medical Expert Systems Based on Causal Probabilistic Networks. AIME 1997: 285-295

Ole K. Hejlesen, Steen Andreassen, Stig K. Andersen: Dynamic Propagation in Causal Probabilistic Networks with Instantiated Variables. AIME 1995: 151-162

Kristian G. Olesen, Steen Andreassen: Specification of models in large expert systems based on causal probabilistic networks. Artificial Intelligence in Medicine 5(3): 269-281 (1993)

Steen Andreassen: Planning of therapy and tests in causal probabilistic networks. Artificial Intelligence in Medicine 4(3): 227-241 (1992)

Roman Hovorka, Steen Andreassen, Jonathan J. Benn, Kristian G. Olesen, Ewart R. Carson: Causal Probabilistic Network Modeling - An Illustration of its Role in the Management of Chronic Diseases. IBM Systems Journal 31(4): 635-648 (1992)

Kristian G. Olesen, Uffe Kjærulff, Frank Jensen, Finn Verner Jensen, Björn Falck, Steen Andreassen, Stig K. Andersen: A munin network for the median nerve - a case study on loops. Applied Artificial Intelligence 3(2-3): 385-403 (1989)

Steen Andreassen, Marianne Woldbye, Björn Falck, Stig K. Andersen: MUNIN - A Causal Probabilistic Network for Interpretation of Electromyographic Findings. IJCAI 1987: 366-372

Stig K. Andersen, Steen Andreassen, Marianne Woldbye: Knowledge Representations for Diagnosis and Test Planning in the Domain of Electromyography. ECAI 1986: 461-472